Plasma lipid-based machine learning models provides a potential diagnostic tool for colorectal cancer patients-Reference-Cited by-同舟云学术

Plasma lipid-based machine learning models provides a potential diagnostic tool for colorectal cancer patients

Published:2022-11 Issue: Volume:536 Page:191-199
ISSN:0009-8981
Container-title:Clinica Chimica Acta
language:en
Short-container-title:Clinica Chimica Acta

Author:

Yang Chenxi,Zhou Sicheng,Zhu Jing,Sheng Huaying,Mao Weimin,Fu Zhixuan,Chen Zhongjian

Publisher

Elsevier BV

Subject

Biochemistry (medical),Clinical Biochemistry,Biochemistry,General Medicine

Reference31 articles.

1. Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors;Rawla;Przeglad gastroenterologiczny.,2019

2. Disease burden of colorectal cancer in China: any changes in recent years?;Wang;Zhonghua liu Xing Bing xue za zhi= Zhonghua Liuxingbingxue Zazhi.,2020

3. Urbanisation and health in China;Gong;The Lancet.,2012

4. Trends in and predictions of colorectal cancer incidence and mortality in China from 1990 to 2025;Zhang;Front. Oncol.,2019

5. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020;Cao;Chin. Med. J.,2021

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